Introductory Big Data Analyses to gain Insights in Precision medicine

Programme Highlights

Ready or not, Precision Medicine is here and hyped to be a game-changer, transforming modern medicine with potential to be a major driver of health outcomes. So ‘What Precisely is Precision Medicine?’ and how does Precision Medicine revolutionizes disease identification, diagnosis, prognosis and/or treatment? With OMICs and Big Data being key features of Precision Medicine, what are the opportunities and challenges that presents, before Precision Medicine can be fully realized in the Clinic?

This CET is Part 2 of 2 Complementary Precision Medicine (PM) CET courses (the other is BCH_PM01), which can be taken either individually or together depending on the participants’ interests/inclinations. This Part 2 PM CET (BCH_PM02) course will introduce participants to some basic skills of handling big data in Precision Medicine including data wrangling, analyses, visualization to gain insights, as well as Machine Learning to predict disease in PM through experiential learning. The companion PM CET (BCH_PM01) will introduce participants to the field of Precision Medicine including the Hype, Hope, Premise, Nuts & Bolts (including the concept of OMICs in PM and types of PM), as well as Opportunities and Challenges of PM. It will also introduce some common genomics and proteomics tools used in PM and highlight how PM is/can be applied clinically for both genetic as well as complex diseases.

Together, these 2 Complementary Precision Medicine (PM) CET courses are targeted at University graduates who are interested to explore a career in Biomedical Education/Research, Biotech, Pharma, Deep Technology startup, Diagnostic lab, Academic Medicine as well as Clinicians who would like to apply Precision Medicine in their clinical practice or become a clinical leader in Precision Medicine.

To learn more, visit https://medicine.nus.edu.sg/bch/precmedcet/

Benefits of Attending

At the end of Part 2 Pecision Medicine CET course, participants will

• Appreciate the Complexity of Big Data in Precision Medicine
• Be Introduced to and Experience the analyses of one type of data used in Precision Medicine.

Basic skills that participants will be introduced to include

• Data Wrangling, Analyses and Visualization to gain insights
• Employing one Machine Learning model to predict disease

Who Should Attend

• University graduates who are interested to explore a career in
• Biomedical Education/Research
• Biotechnology
• Pharmaceutical
• Deep Technology startup
• Diagnostic lab
• Academic Medicine
• Clinicians who would like to apply Precision Medicine in their clinical practice or become a clinical leader in Precision Medicine.

Course Agenda

Day 1: Harnessing Big Data for Precision Medicine

Day 2-4:
▪ Introductory Data Wrangling and Analyses for Precision Medicine
▪ Introductory Data Visualization/Insights for Precision Medicine
▪ Introductory Machine Learning to predict disease in Precision Medicine

Pre-Requisites and Assessment

Prerequisite

Any Bachelor’s degree or relevant working experience

Assessment

Participants will need to submit assignment one week after the course ends to complete the programme.

Course Fee

S$1900.00 (before GST)